Question: How can I measure the impact of every feature release and quickly identify any problems that arise?

To gauge the effect of every feature release and quickly spot any issues that crop up, Split is a good option. This service for managing feature flags, software experiments and continuous delivery lets product development teams release new features fast and safely. Feature flagging, automated rollout monitoring and A/B testing lets teams assess the effect of each release and spot problems as they emerge during progressive delivery.

Another option is Statsig, a full-stack feature management and experimentation service. Statsig automates experiment analysis, manages feature flags and offers data to help you make decisions. Its main products, including Experiments, Feature Flags, Analytics and Session Replays, span the full range of experimentation, making it easier to run experiments and manage features.

For a more complete set of tools, PostHog offers a lot of features for product analytics, feature flags, session replays and A/B testing. With tools like funnels, graphs, trends and user paths, PostHog lets developers build products that succeed. It also offers built-in surveys and dynamic cohort support, making it a good option for startups and growth-stage companies that need to be flexible.

Last, LogRocket offers a combination of session replay, product analytics and error tracking. The service is designed to help you find and fix technical and user experience problems by surfacing high-impact problems before they become problems. With tools like AI error tracking and frontend performance monitoring, LogRocket offers data that's useful to developers and product managers trying to ensure users don't have problems.